class_docstr: Represents a conflict between two or more stories.
  
  Here, a conflict means that different actions are supposed to follow from
  the same dialogue state, which most policies cannot learn.
code: def __str__(self) -> Text:
      # Describe where the conflict occurs in the stories
      last_event_type, last_event_name = _get_previous_event(
          self._sliced_states[-1]
      )
      if last_event_type:
          conflict_message = (
              f"Story structure conflict after {last_event_type} "
              f"'{last_event_name}':\n"
          )
      else:
          conflict_message = (
              "Story structure conflict at the beginning of stories:\n"
          )
  
      # List which stories are in conflict with one another
      for action, stories in self._conflicting_actions.items():
          conflict_message += f"  {self._summarize_conflicting_actions(action, stories)}"
  
      return conflict_message
  
imports: from collections import defaultdict
  import logging
  import json
  from typing import DefaultDict, Dict, Generator, List, NamedTuple, Optional, Text, Tuple
  from rasa.core.featurizers.tracker_featurizers import MaxHistoryTrackerFeaturizer
  from rasa.shared.core.constants import ACTION_LISTEN_NAME, PREVIOUS_ACTION, ACTION_UNLIKELY_INTENT_NAME, USER
  from rasa.shared.core.domain import Domain, State
  from rasa.shared.core.events import ActionExecuted, Event
  from rasa.shared.core.generator import TrackerWithCachedStates
  from rasa.nlu.tokenizers.tokenizer import Tokenizer
  from rasa.shared.nlu.constants import TEXT
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 6 for calling the StoryConflict obj's underlying member method code with example usage: obj.__str__() and returns: conflict_message